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Remote Sql Data Engineer Jobs in California (NOW HIRING)

Runpod Inc

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

Learn more in our CEO's funding announcement: We're a small, remote-first team. We take ownership ... Strong Python and advanced SQL, applied with an engineer's discipline: code that is tested ...

Taskrabbit

Staff Data Engineer

San Francisco, CA · On-site +1

$150K - $200K/yr

Proficient in SQL and at least one general-purpose programming language (e.g., Python, Java, or ... data processing is a strong plus. Compensation & Benefits: At Taskrabbit, our approach to ...

Vytl Controls Group

Data Systems Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

This role offers a collaborative work environment with opportunities for both in-office and remote ... experience writing complex SQL queries and working with data models 2+ years of experience ...

Thrive Market

Senior Data Engineer

Los Angeles, CA · On-site +1

$114K - $155K/yr

We need your amazing software engineering skills to help us execute our Data Engineering ... Expertise with RDBMS and Data Warehousing (Strong SQL) with Snowflake or similar * In-depth ...

Block

Senior Data Engineer, Risk

Bodega Bay, CA · On-site +1

$125K - $170K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... High proficiency in SQL, Python, and Dbt * Experience designing medium-to-large data engineering ...

Otter.ai

Senior Data Engineer

Mountain View, CA · On-site +1

$185K - $230K/yr

Has strong programming skills in Python and SQL * Has expertise with cloud data warehouses such as Snowflake, BigQuery, or Databricks * Has experience building and maintaining ETL/ELT pipelines * Is ...

AccelerateHC

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The company is fully remote across the US and Canada and operates with a transparent salary ... Export source data across a range of access methods, including SQL, APIs, manual extracts, and ...

LMI

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

This is a largely remote position; however, candidates must reside in the vicinity of San Diego, CA ... Research, design, implement, and manage enterprise data engineering systems, and serve as subject ...

LMI

Data Architect - Clearance Required

San Diego, CA · On-site +1

$67.75 - $87/hr

This is a largely remote position; however, candidates must reside in the vicinity of San Diego, CA ... Research, design, implement, and manage enterprise data engineering systems, and serve as subject ...

Ōura

Senior Data Engineer - Finance

San Francisco, CA · On-site +1

$124K - $169K/yr

... Strong SQL and Python skills with a track record of building tested, reliable data pipelines ... We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

Bloom Energy

Staff Data Engineer

Fremont, CA · On-site +1

$112K - $161K/yr

We are looking for a Staff Data Engineer to join our team in one of today's most exciting ... Expert proficiency in SQL and relational database design. * Experience designing and supporting ...

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Remote Sql Data Engineer information

What does a remote SQL data engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.

What are the key skills and qualifications needed to thrive as a remote SQL data engineer?

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

How does a remote SQL data engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

What is the difference between Remote Sql Data Engineer vs Remote Data Analyst?

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

What are the most commonly searched types of Sql Data Engineer jobs in California?

The most popular types of Sql Data Engineer jobs in California are:

What are popular job titles related to Remote Sql Data Engineer jobs in California?

For Remote Sql Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Sql Data Engineer jobs in California look for?

The top searched job categories for Remote Sql Data Engineer jobs in California are:

What cities in California are hiring for Remote Sql Data Engineer jobs?

Cities in California with the most Remote Sql Data Engineer job openings:

Remote Sql Data Engineer jobs near you
Infographic showing various Remote Sql Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Data Engineer

Runpod Inc

San Francisco, CA • On-site, Remote

$124K - $169K/yr

Full-time

PTO

Posted 21 days ago

Key responsibilities

  • Own the design, implementation, and operation of data pipelines end to end, including batch and near-real-time streaming ingestion into Snowflake, transforms in dbt, and supporting orchestration and infrastructure.

  • Build well-documented, high-quality data products that are modeled, tested, and relied upon by analytics, finance, and engineering teams for critical decisions.

  • Diagnose, optimize, and troubleshoot production data incidents, including root-cause analysis, assessing impact, fixing issues, and verifying downstream effects.

Job description

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.
We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.
We practice software engineering for data. Pipelines are code with tests, CI/CD, and infrastructure-as-code behind them. Schema changes flow through automated migration tooling. Data quality is an engineered property of the system, not a dashboard someone checks. As a Senior Data Engineer, you will own ingestion pipelines end to end, from source system to warehouse to modeled, well-documented data products, across our stack of Snowflake, dbt, Dagster, Terraform, and AWS.
You will also work in one of the most AI-forward engineering environments anywhere. We operate production autonomous agents that triage incidents, review data, and ship code alongside us. You'll delegate real work to agents, review their output critically, and extend the shared knowledge and tooling they run on. We're looking for a strong software engineer who chose to specialize in data and is genuinely energized by working this way.
Responsibilities:
  • Own the design, implementation, and operation of data pipelines end to end: batch and near-real-time streaming ingestion into Snowflake, bronze-to-silver transforms in dbt, and the orchestration and infrastructure that support them.
  • Build well-documented, high-quality data products that are modeled, tested, and easy to understand, and that analytics, finance, and engineering teams rely on for critical decisions.
  • Treat data quality and observability as part of every deliverable: dbt tests, freshness and anomaly monitoring, lineage, and alerting that stays trustworthy. A noisy alert is a defect.
  • Diagnose and optimize warehouse cost and performance across query profiles, clustering, and warehouse sizing, and verify claims with measurement before shipping changes.
  • Debug production data incidents independently: root-cause across the pipeline, assess blast radius, fix, and verify downstream impact.
  • Manage infrastructure as code (Terraform for AWS and Snowflake) with the discipline that entails. In our world, merge is deploy.
  • Work daily with AI agents: delegate well-scoped work, verify and own the correctness of AI-assisted output, and contribute skills and documentation that make the agents (and the humans) more effective.
  • Partner cross-functionally to turn business questions into data requirements, and data requirements into shipped, maintained systems.

Requirements:
  • 5+ years of professional software engineering experience, with at least 3 years focused on data engineering in modern cloud environments.
  • Strong Python and advanced SQL, applied with an engineer's discipline: code that is tested, reviewed, and built to be maintained. Fluency in other languages is a plus (e.g. Go, Rust, Scala).
  • Hands-on depth in a modern MPP/OLAP warehouse or query engine, including the internals: query profiling, clustering and partitioning, cost attribution, and performance tuning. Snowflake preferred; experience with Trino, ClickHouse, Spark, BigQuery, or similar also counts.
  • Experience building and operating orchestrated pipelines (Dagster, Airflow, or similar) and analytics engineering with dbt or equivalent.
  • A track record of owning systems in production: monitoring, incident response, and the follow-through to leave things better than you found them.
  • Demonstrated ability to use AI tools to improve the speed and quality of your work, with critical evaluation and verification of AI-assisted output.
  • Excellent written communication. On a small distributed team working with agents, clear documentation is how decisions propagate.

Nice to Have:
  • Infrastructure-as-code experience (Terraform preferred) and comfort operating in AWS.
  • Experience with streaming or near-real-time ingestion (Kinesis, Kafka, Snowpipe Streaming, or similar).
  • Experience building with LLMs or agent frameworks (tool use, orchestration, evaluation).
  • Startup experience: comfort with ambiguity, breadth, and shipping the MVP.

What You'll Receive:
  • The competitive base pay for this position ranges from 175,000- 220,000 usd. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location
  • Meaningful equity in a fast-growing company- everyone on the team receives stock options - your impact drives our growth, and you share in the upside.
  • Flexible PTO- take the time you need to recharge
  • Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
  • Join a passionate team on the cutting edge of AI infrastructure - where culture, learning, and ownership are at the heart of how we scale.
  • $1,200 Home Office & Equipment Stipend-We set you up for success from day one with gear and support to create your ideal workspace

Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas

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